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Added 7 mins ago
OBSERVABILITY ENGINEER
Zodiac Solutions, Inc
Halifax, NS
Full-time
We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization.
Added 9 mins ago
Sr. Infrastructure Engineer - Patching
CIBC
Toronto, ON
Full-time
…automation ecosystem used to remediate vulnerabilities and maintain platform currency at scale. This role requires deep technical understanding across infrastructure, operating systems,…
Added 9 mins ago
Senior Data Engineer (DBX)
Munich Re
Toronto, ON
As a Senior Data Engineer (DBX), you will design and deliver scalable data solutions for high-volume, complex data. You will lead technical design, build reliable data flows, and establish…
Added 9 mins ago
Frontend Engineer, Data Product Experiences
Stripe
Canada
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments,…
Added 9 mins ago
Senior Android Engineer, Manulife Bank Technology
Manulife
Toronto, ON · Waterloo, ON
Full-time
As a Senior Android Engineer, you will join the small, high-impact team responsible for building Canada's top-rated banking app for Android. You will take a leading role in developing…
Added 23 mins ago
Senior Data Engineer
TripleLift
Toronto, ON
We're TripleLift, an advertising platform on a mission to elevate digital advertising through beautiful creative, quality publishers, actionable data and smart targeting. Through over 1…
Added 23 mins ago
Senior Software Engineer - Credit Commercial Engineering
Marqeta
Remote, Canada
Full-time · Remote
Marqeta is seeking a skilled Senior Software Engineer to contribute to the design and delivery of software solutions on our Credit Commercial Engineering Team. In this role, you will take…
Added 23 mins ago
AI Engineer
FacilityOS
Remote, Canada
$80,000 to $100,000 CAD / year
Full-time · Remote
The Cloud Engineer reports to the Director of Cloud Engineering and joins the CloudOps team responsible for the infrastructure behind FacilityOS’s SaaS platform. This is a generalist role…
Added 23 mins ago
Senior Engineer
Xero
Remote, Canada
Full-time · Remote
…building high-quality, scalable software, your work ensures our platform remains robust and reliable for millions of global…
Added 23 mins ago
Software Engineer, Machine Learning
Ema
Vancouver, BC
Full-time
Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee,…
Added 23 mins ago
Software Development Manager, AIO Visualization and Reporting
Amazon
Vancouver, BC
…everywhere they are reported. The other is the internal billing platform and the authorization service in front of it, which decides who is allowed to see which customer's data, millions of…
Added 23 mins ago
Senior Data Engineer
Precision AI
Calgary, AB
Full-time
You will build the platform that fixes this. You own how field data gets from the aircraft into a governed, queryable, reproducible asset that our ML engineers can pull training sets from…
Added 37 mins ago
Software Developer - Amdocs Clarify CRM/Java
Resonaite
Markham, ON
Contract
Our client is seeking a contract based Software Engineer with a focus on Amdocs Clarify CRM. The ideal candidate brings strong Java, Spring Boot, Oracle, API and full-stack development…
Added 37 mins ago
Integrator engineer
Zodiac Solutions, Inc
Montreal, QC
Full-time
…with a global team of experts on modernizing the Firm’s SDLC platform to enable deployment automation to private and public cloud endpoints and SaaS-based tooling. This role affords the…
Added 37 mins ago
Senior Cloud Platform Engineer, DevOps
ProCogia
Vancouver, BC
Full-time
ProCogia is looking for a Senior Cloud Platform Engineer with strong hands-on DevOps and cloud engineering experience who can design, build, operate, and improve modern enterprise…
Added 38 mins ago
Sr. Software Development Engineer in Test (Agentic)
Dialpad
Kitchener, ON
Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve…
Added 38 mins ago
Senior Site Reliability Developer
Vena Solutions
Remote, Canada
Full-time · Remote
…best-in-class automation and orchestration practices for Vena's SaaS platform. As a Senior Site Reliability Developer, you will utilize your software and systems engineering background to…
Added 53 mins ago
Senior Cloud Platform Engineer, DevOps
ProCogia
Vancouver, BC
ProCogia is looking for a Senior Cloud Platform Engineer with strong hands-on DevOps and cloud engineering experience who can design, build, operate, and improve modern enterprise…
Added 1 hour ago
Data Engineer
Siri InfoSolutions, Inc.
Toronto, ON
Full-time
The primary focus of this role is to design, build, and maintain the EMFI Data Application Platform, a financial analytics application. The successful candidate will work across the full…
Added 1 hour ago
Senior Cloud Platform Engineer, DevOps
ProCogia
Vancouver, BC
Full-time
ProCogia is looking for a Senior Cloud Platform Engineer with strong hands-on DevOps and cloud engineering experience who can design, build, operate, and improve modern enterprise…
Added 1 hour ago
Design & Validation Engineer
Skyjack Inc.
Guelph, ON
Full-time
As a n Engineer , Intermediate at Linamar, you will assist in planning and designing complex manufacturing processes within an industrial plant. You will support the improvement of…
Added 1 hour ago
Sr. Integration Architect - Automation
Infotree Global Solutions
Toronto, ON
Contract
Job Title: Sr Integration Engineer (Intelligent Automation)
Added 1 hour ago
Senior ETL Engineer
Tech Talent International
Toronto, ON
Contract
…organizations in Canada/US. We are currently hiring a Senior ETL Engineer for our consulting…
Added 1 hour ago
DevOps Engineer, New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. As a New Grad DevOps Engineer, you will help build and operate the infrastructure behind our AI-powered job search platform, focusing on…
Added 1 hour ago
Senior Software Development Engineer, AWS Field Experiences AFX
Amazon Web Services (AWS)
Vancouver, BC
Full-time
Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud ("Cloud Computing"). With AWS you can requisition compute power, storage,…

Ema

Software Engineer, Machine Learning

Vancouver, BC, Canada

Pay: The standard base salary for this position is $160,000 to $220,000 annually.
Job type: Full-time
Experience: At least 2 years of industry experience in building and deploying production-level machine learning models.
Posting language: English
Posted: Sep 22, 2026

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Original job description

About Ema

Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs.

We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production - we ship real systems that run real business processes at scale.

Who You Are

We're looking for innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related spaces. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact.

You Will

Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems.
Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems.
Process and analyze large, complex datasets (structured, semi-structured, and unstructured), and use your findings to inform the development of our models.
Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.
Implement A/B testing and other statistical methods to validate the effectiveness of models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.
Clearly communicate the technical workings and benefits of ML models to both technical and non-technical stakeholders, facilitating understanding and adoption.

Minimum Qualifications

A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
At least 2 years of industry experience in building and deploying production-level machine learning models.
Deep understanding and practical experience with NLP techniques and frameworks, including training and inference of large language models.
Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems and experience in how to build them for large systems.
Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.

Ideally, You'd Have

Excellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems.
Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practices.
Familiarity with cloud platforms like GCP or Azure.
Familiarity with the latest industry and academic trends in machine learning and AI, and the ability to apply this knowledge to practical projects.
Good understanding of software development principles, data structures, and algorithms.
Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.
The ability to work collaboratively in an extremely fast-paced, startup environment.

For California Based Candidates

The standard base salary for this position is $160,000 to $220,000 annually.

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

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More about this job

Responsibilities

You will conceptualize, develop, and deploy machine learning models for NLP, retrieval, and reasoning systems. Additionally, you will manage the full ML lifecycle, including data exploration, model training, validation, and deployment.

Requirements

Candidates must hold a Master’s degree or Ph.D. in a quantitative field and have at least 2 years of industry experience in production-level machine learning. Proficiency in Python and deep understanding of NLP and large language models are required.

Skills

Machine Learning
Natural Language Processing
Python
TensorFlow
PyTorch
Transformer-based models
Reinforcement learning
Agent-based systems
SQL
ETL
Data warehousing
MLOps
Cloud platforms
GCP
Azure
Information retrieval

Benefits

Variable compensation
Equity

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Agentic AI
Natural Language Processing
Python
TensorFlow
PyTorch
Transformer
Reinforcement Learning
Ensemble Learning
Agent-based systems
SQL
ETL
Data Warehousing
MLOps
GCP
Azure
Information Retrieval
Ranking
Reasoning
Code-generation
A/B Testing
Statistical methods
Data structures
Algorithms
Startup
Enterprise productivity
Software Engineering
Model lifecycle management
Feature engineering
Deployment

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